Chief Data Scientist
David is passionate about applying the latest machine learning and data analysis techniques to new and interesting problem spaces. He received a BS in Physics and Mathematics from Augsburg College while conducting research related to the Northern Lights. After graduating from Augsburg, he spent two years in Tanzania teaching Physics and Math in the Peace Corps. He was awarded the international Fred L Scarf award for his Ph.D. work at Boston University on magnetohydrodynamics.
David has been developing data analysis and machine learning systems and methods for over 20 years in both academia and industry. He has an extensive background in space physics research, data analysis and analytics, and now plays a key role in the strategic leadership of EarthOptics’ research and development team by assessing state-of-art capabilities and techniques in data analytics and machine learning in soil science. His time as a professor has enabled him to excel at developing and leading teams of early-career data scientists. He also has an interest in science policy and its role in international relations, and served as the AAAS fellow to the US State Department.